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Linked challenge: NGC2 Edge Intelligence: Zero-Trust Sensor Fusion with AI SDK and Ray

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Linked challenge

NGC2 Edge Intelligence: Zero-Trust Sensor Fusion with AI SDK and Ray

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Using Vercel AI SDK, create a server-side route that accepts a stream of sensor data. Define two tools: `queryRayInference` (which calls a Ray Serve endpoint) and `verifyCommandAuthority`. Use `streamText` to provide a real-time tactical summary of the incoming data, ensuring it only executes if authority is verified.

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Linked challenge

NGC2 Edge Intelligence: Zero-Trust Sensor Fusion with AI SDK and Ray

With the US Army testing Lockheed’s NGC2 data layer prototype, the race is on to build decentralized command-and-control architectures. This challenge requires you to build a Zero-Trust intelligent data layer for real-time sensor fusion at the edge. You will use the Vercel AI SDK to manage intelligent routing and tool-calling across a distributed network of 'sensors' (simulated by Ray actors). The goal is to process vast amounts of telemetry—including radar tracks and ELINT (Electronic Intelligence)—to provide 'Information Dominance' to a command agent. By utilizing Ray for distributed inference, you will ensure the system can scale across multiple theater-level compute nodes. Every request must be validated through a Zero-Trust middleware, ensuring that only authenticated 'Command Nodes' can trigger high-stakes kinetic mission recommendations. You will implement a streaming interface using AI SDK to provide low-latency updates to a simulated Tactical Operations Center (TOC).

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